PostgreSQL column types

We have native support for all of them, yet if that's not enough for you - feel free to create custom types.

integer

integer int int4
Signed 4-byte integer
If you need integer autoincrement - please refer to serial

import { integer, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
	int: integer('int')
});

CREATE TABLE IF NOT EXISTS "table" (
	"int" integer
);

import { sql } from "drizzle-orm";
import { integer, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
	int1: integer('int1').default(10)
	int2: integer('int2').default(sql`'10'::int`)
});

CREATE TABLE IF NOT EXISTS "table" (
	"int1" integer DEFAULT 10
	"int2" integer DEFAULT '10'::int
);

smallint

smallint int2
Small-range signed 2-byte integer
If you need smallint autoincrement - please refer to smallserial

import { smallint, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
	smallint: smallint('smallint')
});

CREATE TABLE IF NOT EXISTS "table" (
	"smallint" smallint
);

import { sql } from "drizzle-orm";
import { smallint, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
	smallint1: smallint('smallint1').default(10)
	smallint2: smallint('smallint2').default(sql`'10'::smallint`)
});

CREATE TABLE IF NOT EXISTS "table" (
	"smallint1" smallint DEFAULT 10
	"smallint2" smallint DEFAULT '10'::smallint
);

bigint

bigint int8
Signed 8-byte integer
If you need bigint autoincrement - please refer to bigserial

If you're expecting values above 2^31 but below 2^53, you can utilise mode: 'number' and deal with javascript number as opposed to bigint

import { bigint, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
	bigint: bigint('bigint', { mode: 'number' })
});
 
// will be inferred as `number`
bigint: bigint('bigint', { mode: 'number' })
 
// will be inferred as `bigint`
bigint: bigint('bigint', { mode: 'bigint' })

CREATE TABLE IF NOT EXISTS "table" (
	"bigint" bigint
);

import { sql } from "drizzle-orm";
import { bigint, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
	bigint1: bigint('bigint1').default(10)
	bigint2: bigint('bigint2').default(sql`'10'::bigint`)
});

CREATE TABLE IF NOT EXISTS "table" (
	"bigint1" bigint DEFAULT 10
	"bigint2" bigint DEFAULT '10'::bigint
);

serial

serial serial4
Auto incrementing 4-bytes integer, notational convenience for creating unique identifier columns (similar to the AUTO_INCREMENT property supported by some other databases).
Official PostgreSQL docs (opens in a new tab)

import { serial, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
  serial: serial('serial'),
});

CREATE TABLE IF NOT EXISTS "table" (
	"serial" serial NOT NULL,
);

smallserial

smallserial serial2
Auto incrementing 2-bytes integer, notational convenience for creating unique identifier columns (similar to the AUTO_INCREMENT property supported by some other databases).
Official PostgreSQL docs (opens in a new tab)

import { smallserial, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
  smallserial: smallserial('smallserial'),
});

CREATE TABLE IF NOT EXISTS "table" (
	"smallserial" smallserial NOT NULL,
);

bigserial

bigserial serial8
Auto incrementing 8-bytes integer, notational convenience for creating unique identifier columns (similar to the AUTO_INCREMENT property supported by some other databases).
Official PostgreSQL docs (opens in a new tab)

If you're expecting values above 2^31 but below 2^53, you can utilise mode: 'number' and deal with javascript number as opposed to bigint

import { bigserial, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
  bigserial: bigserial('bigserial', { mode: 'number' }),
});

CREATE TABLE IF NOT EXISTS "table" (
	"bigserial" bigserial NOT NULL,
);

boolean

PostgreSQL provides the standard SQL type boolean Official PostgreSQL docs (opens in a new tab)

import { boolean, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
	boolean: boolean('boolean')
});

CREATE TABLE IF NOT EXISTS "table" (
	"boolean" boolean,
);

text

text
Variable-length(unlimited) character string
Official PostgreSQL docs (opens in a new tab)

You can define { enum: ["value1", "value2"] } config to infer insert and select types, it won't check runtime values

import { text, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
  text: text('text')
});
 
// will be inferred as text: "value1" | "value2" | null
text: text('text', { enum: ["value1", "value2"] })

CREATE TABLE IF NOT EXISTS "table" (
	"text" text,
);

varchar

character varying(n) varchar(n)
Variable-length character string, can store strings up to n characters(not bytes)
Official PostgreSQL docs (opens in a new tab)

You can define { enum: ["value1", "value2"] } config to infer insert and select types, it won't check runtime values
length parameter is optional according to PostgreSQL docs

import { varchar, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
  varchar1: varchar('varchar1'),
  varchar1: varchar('varchar2', { length: 256 }),
});
 
// will be inferred as text: "value1" | "value2" | null
varchar: varchar('varchar', { enum: ["value1", "value2"] }),

CREATE TABLE IF NOT EXISTS "table" (
	"varchar1" varchar,
	"varchar2" varchar(256),
);

char

character(n) char(n)
Fixed-length, blank padded character string, can store strings up to n characters(not bytes)
Official PostgreSQL docs (opens in a new tab)

You can define { enum: ["value1", "value2"] } config to infer insert and select types, it won't check runtime values
length parameter is optional according to PostgreSQL docs

import { char, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
  char1: char('char1'),
  char2: char('char2', { length: 256 }),
});
 
// will be inferred as text: "value1" | "value2" | null
char: char('char', { enum: ["value1", "value2"] }),

CREATE TABLE IF NOT EXISTS "table" (
	"char1" char,
	"char2" char(256),
);

numeric

numeric decimal
Exact numeric of selectable precision. Can store numbers with a very large number of digits, up to 131072 digits before the decimal point and up to 16383 digits after the decimal point
Official PostgreSQL docs (opens in a new tab)

import { numeric, pgTable } from "drizzle-orm/pg-core";
 
export const table = pgTable('table', {
  numeric1: numeric('numeric1'),
  numeric2: numeric('numeric2', { precision: 100 }),
  numeric3: numeric('numeric3', { precision: 100, scale: 20 }),
});

CREATE TABLE IF NOT EXISTS "table" (
	"numeric1" numeric,
	"numeric2" numeric(100),
	"numeric3" numeric(100, 20),
);

decimal

Is an alias of numeric

real

real float4
Single precision floating-point number (4 bytes)
Official PostgreSQL docs (opens in a new tab)

import { sql } from "drizzle-orm";
import { real, pgTable } from "drizzle-orm/pg-core";  
 
const table = pgTable('table', {
	real1: real('real1'),
	real2: real('real2').default(10.10),
	real2: real('real2').default(sql`'10.10'::real`),
});

CREATE TABLE IF NOT EXISTS "table" (
	"real1" real,
	"real2" real default 10.10,
	"real2" real default '10.10'::real
);

double precision

double precision float8
Double precision floating-point number (8 bytes)
Official PostgreSQL docs (opens in a new tab)

import { sql } from "drizzle-orm";
import { doublePrecision, pgTable } from "drizzle-orm/pg-core";
 
const table = pgTable('table', {
	double1: doublePrecision('double1'),
	double2: doublePrecision('double2').default(10.10),
	double3: doublePrecision('double3').default(sql`'10.10'::double precision`),
});

CREATE TABLE IF NOT EXISTS "table" (
	"double1" double precision,
	"double2" double precision default 10.10,
	"double3" double precision default '10.10'::double precision,
);

json

json
Textual JSON data, as specified in RFC 7159 (opens in a new tab)
Official PostgreSQL docs (opens in a new tab)

import { sql } from "drizzle-orm";
import { json, pgTable } from "drizzle-orm/pg-core";
 
const table = pgTable('table', {
	json1: json('json1'),
	json2: json('json2').default({ foo: "bar" }),
	json3: json('json3').default(sql`'{foo: "bar"}'::json`),
});

CREATE TABLE IF NOT EXISTS "table" (
	"json1" json,
	"json2" json default '{"foo": "bar"}'::json,
	"json3" json default '{"foo": "bar"}'::json,
);

You can specify .$type<..>() for json object inference, it won't check runtime values. It provides compile time protection for default values, insert and select schemas.

// will be infered as { foo: string }
json: json('json').$type<{ foo: string }>();
 
// will be infered as string[]
json: json('json').$type<string[]>();
 
// won't compile
json: json('json').$type<string[]>().default({});

jsonb

jsonb
Binary JSON data, decomposed
Official PostgreSQL docs (opens in a new tab)

import { jsonb, pgTable } from "drizzle-orm/pg-core";
 
const table = pgTable('table', {
	jsonb1: jsonb('jsonb1'),
	jsonb2: jsonb('jsonb2').default({ foo: "bar" }),
	jsonb3: jsonb('jsonb3').default(sql`'{foo: "bar"}'::jsonb`),
});

CREATE TABLE IF NOT EXISTS "table" (
	"jsonb1" jsonb,
	"jsonb2" jsonb default '{"foo": "bar"}'::jsonb,
	"jsonb3" jsonb default '{"foo": "bar"}'::jsonb,
);

You can specify .$type<..>() for json object inference, it won't check runtime values. It provides compile time protection for default values, insert and select schemas.

// will be infered as { foo: string }
jsonb: jsonb('jsonb').$type<{ foo: string }>();
 
// will be infered as string[]
jsonb: jsonb('jsonb').$type<string[]>();
 
// won't compile
jsonb: jsonb('jsonb').$type<string[]>().default({});

time

time timetz time with timezone time without timezone
Time of day with or without time zone
PostgreSQL docs (opens in a new tab)

import { time, pgTable } from "drizzle-orm/pg-core";
 
const table = pgTable('table', {
  time1: time('time1'),
  time2: time('time2', { withTimezone: true }),
  time3: time('time3', { precision: 6 }),
	time4: time('time4', { precision: 6, withTimezone: true })
});

CREATE TABLE IF NOT EXISTS "table" (
	"time1" time,
	"time2" time with timezone,
	"time3" time(6),
	"time4" time(6) with timezone,
);

timestamp

timestamp timestamptz timestamp with time zone timestamp without time zone
Date and time with or without time zone
PostgreSQL docs (opens in a new tab)

import { sql } from "drizzle-orm";
import { timestamp, pgTable } from "drizzle-orm/pg-core";
 
const table = pgTable('table', {
  timestamp1: timestamp('timestamp1'),
	timestamp2: timestamp('timestamp2', { precision: 6, withTimezone: true }),
	timestamp3: timestamp('timestamp3').defaultNow(),
	timestamp4: timestamp('timestamp4').default(sql`now()`),
});

CREATE TABLE IF NOT EXISTS "table" (
	"timestamp1" timestamp,
	"timestamp2" timestamp (6) with time zone,
	"timestamp3" timestamp default now(),
	"timestamp4" timestamp default now(),
);

You can specify either date or string infer modes

// will infer as date
timestamp: timestamp('timestamp', { mode: "date" }),
 
// will infer as string
timestamp: timestamp('timestamp', { mode: "string" }),

date

date
Calendar date (year, month, day)
PostgreSQL docs (opens in a new tab)

import { date, pgTable } from "drizzle-orm/pg-core";
 
const table = pgTable('table', {
	date: date('date'),
});

CREATE TABLE IF NOT EXISTS "table" (
	"date" date,
);

You can specify either date or string infer modes

// will infer as date
date: date('date', { mode: "date" }),
 
// will infer as string
date: date('date', { mode: "string" }),

interval

interval
Time span
PostgreSQL docs (opens in a new tab)

import { interval, pgTable } from "drizzle-orm/pg-core";
 
const table = pgTable('table', {
	interval1: interval('interval1'),
  interval2: interval('interval2', { fields: 'day' }),
  interval3: interval('interval3', { fields: 'month' , precision: 6 }),
});

CREATE TABLE IF NOT EXISTS "table" (
	"interval1" interval,
	"interval2" interval day,
	"interval3" interval(6) month,
);

enum

enum enumerated types
Enumerated (enum) types are data types that comprise a static, ordered set of values. They are equivalent to the enum types supported in a number of programming languages. An example of an enum type might be the days of the week, or a set of status values for a piece of data.

PostgreSQL docs (opens in a new tab)

import { pgEnum, pgTable } from "drizzle-orm/pg-core";
 
export const moodEnum = pgEnum('mood', ['sad', 'ok', 'happy']);
 
export const table = pgTable('table', {
  mood: moodEnum('mood'),
});

CREATE TYPE mood AS ENUM ('sad', 'ok', 'happy');
 
CREATE TABLE IF NOT EXISTS "table" (
	"mood" mood,
);

Customizing column data type

Every column builder has a .$type() method, which allows you to customize the data type of the column. This is useful, for example, with unknown or branded types.

type UserId = number & { __brand: 'user_id' };
type Data = {
	foo: string;
	bar: number;
};
 
const users = pgTable('users', {
  id: serial('id').$type<UserId>().primaryKey(),
  jsonField: json('json_field').$type<Data>(),
});

Constraints & defaults

Default value

The DEFAULT clause specifies a default value to use for the column if no value is explicitly provided by the user when doing an INSERT. If there is no explicit DEFAULT clause attached to a column definition, then the default value of the column is NULL.

An explicit DEFAULT clause may specify that the default value is NULL, a string constant, a blob constant, a signed-number, or any constant expression enclosed in parentheses.

import { sql } from "drizzle-orm";
import { integer, pgTable, uuid } from "drizzle-orm/pg-core";
 
const table = pgTable('table', {
	integer1: integer('integer1').default(42),
	integer2: integer('integer2').default(sql`'42'::integer`),
	uuid1: uuid('uuid1').defaultRandom(),
	uuid2: uuid('uuid2').default(sql`gen_random_uuid()`),
});

CREATE TABLE IF NOT EXISTS "table" (
	"integer1" integer DEFAULT 42,
	"integer2" integer DEFAULT '42'::integer,
	"uuid1" uuid DEFAULT gen_random_uuid(),
	"uuid2" uuid DEFAULT gen_random_uuid()
);

When using $default() or $defaultFn(), which are simply different aliases for the same function, you can generate defaults at runtime and use these values in all insert queries. These functions can assist you in utilizing various implementations such as uuid, cuid, cuid2, and many more

💡

Note: This value does not affect the drizzle-kit behavior, it is only used at runtime in drizzle-orm

import { text, pgTable } from "drizzle-orm/pg-core";
import { createId } from '@paralleldrive/cuid2';
 
const table = pgTable('table', {
	id: text('id').$defaultFn(() => createId()),
});

Not null

NOT NULL constraint dictates that the associated column may not contain a NULL value

import { integer, pgTable } from "drizzle-orm/pg-core";
 
const table = pgTable('table', {
	integer: integer('integer').notNull(),
});

CREATE TABLE IF NOT EXISTS "table" (
	"integer" integer NOT NULL,
);

Primary key

A primary key constraint indicates that a column, or group of columns, can be used as a unique identifier for rows in the table. This requires that the values be both unique and not null.

import { integer, pgTable } from "drizzle-orm/pg-core";
 
const table = pgTable('table', {
	id: serial('id').primaryKey(),
});

CREATE TABLE IF NOT EXISTS "table" (
	"integer" serial PRIMARY KEY NOT NULL,
);

Overview MySQL